论文

经济发展梯度影响下的江苏农用地土壤重金属含量分布格局

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  • 1. 南京大学地理与海洋科学学院, 江苏 南京 210093;
    2. 中科院南京土壤研究所, 江苏 南京 210008
吴绍华(1980- ),男,浙江庆元人,博士研究生,从事土地资源质量研究。E-mail: shaohuawu@126.com

收稿日期: 2007-07-16

  修回日期: 2007-12-14

  网络出版日期: 2008-05-20

基金资助

国家基础科学人才培养基金资助项目(J0630535)、国家重点基础研究发展规划(973)项目(2002CB410810)资助。

Spatial Distribution Pattern of Soil Heavy Metals Under the Influence of Economic Gradient in Jiangsu Province

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  • 1. Department of Land Rescourses and Tourism Sciences, Nanjing University, Nanjing, Jiangsu 210093;
    2. Institute of Soil Science, Chinese Academy of Sciences, Nanjing, Jiangsu 210018

Received date: 2007-07-16

  Revised date: 2007-12-14

  Online published: 2008-05-20

摘要

根据江苏省农用地22个标准样地的7种重金属元素含量测定结果,应用TWINSPAN分类、CCA排序的多元统计方法,对江苏农用地耕作层土壤重金属元素含量格局和影响因子进行了定量分析。研究结果表明,江苏耕作层土壤重金属元素含量整体特征具有明显的沿经济发展梯度(苏南-苏中-苏北)的递减格局。空间位置、人类活动强度、土壤理化性质是控制梯度分布格局重要的环境因素,通过变量分离,空间变量解释的部分占21.5%,人为活动变量解释部分占17.9%,理化性质变量解释部分占17.5%,三组变量总解释量占56.9%,不能解释部分占43.1%。人类活动与空间位置因素一起可以综合反映江苏经济发展的空间梯度,其占了总解释量的69.2%,经济发展梯度对农用地重金属元素含量有着深刻的影响。

本文引用格式

吴绍华, 周生路, 张红富, 赵其国 . 经济发展梯度影响下的江苏农用地土壤重金属含量分布格局[J]. 地理科学, 2008 , 28(3) : 412 -418 . DOI: 10.13249/j.cnki.sgs.2008.03.412

Abstract

Seven kinds of heavy metals content at 22 norm sample plots were determined in Jiangsu Province. Using heavy metals content data, we analyzed the pattern of heavy metals and its influencing factor by TWINSPAN and CCA. The results showed that the distribution of heavy metals in Jiangsu Province was different obviously. Entire distribution feature of heavy metals distribution had a clear gradient with "Subei North Jiangsu-Suzhong (Central Jiangsu)-Sunan (South Jiangsu)". The elements which controlled the entire feature distribution of heavy metals were Hg, Cd and Cu in the Sunan region, Pb, Cr and Ni in the Suzhong and region Subei district. Spatial location, soil physicochemical property and human active intensive were the most important influencing factors which controlled the distribution pattern of heavy metals in Jiangsu. The explanation of three influencing variations accounted for 56.9%, of which the explanation location variation independently was 21.5%, soil physicochemical property was 17.5%, and the human active intensive is 17.9%, but 43.1% could not be explained. This research showed that the spatial distribution pattern of Theavy metals in soil was affected deeply by economic development gradient in Jiangsu Province. The method of WINSPAN and CCA is good for analysis the relations between heavy metals content and influence variations, and it may be a potential method for soil environment research.

参考文献

[1] 张 燕,邓西海,陈 捷.基于137Cs计年法估算滇池沉积物重金属负荷[J].地理科学,2007,27(2):261~267.
[2] 邵学新,黄 标,孙维侠,等.长江三角洲典型地区工业企业的分布对土壤重金属污染的影响[J].土壤学报, 2006,46(3):397~403.
[3] 郭 平,谢忠雷,李 军,等.长春市土壤重金属污染特征及其潜在生态风险评价[J].地理科学,2005,25(1):108~111.
[4] 万红友,周生路,赵其国.苏南经济快速发展区土壤重金属含量的空间变化研究[J].地理科学,2005,25(3): 329~334
[5] 张枝焕,王学军,陶 澍,等.天津地区典型土壤剖面多环芳烃的垂向分布特征[J].地理科学,2004,24(5):562~567.
[6] 孙 波,曹尧东.丘陵区水稻土Cu、Cd污染的空间变异与影响因子[J].农业环境科学学报,2006,25(4):922~928.
[7] 刘付程,史学正,潘贤章,等.太湖流域典型地区土壤磷素含量的空间变异特征[J].地理科学,2003,23(1):77~81.
[8] 王冬艳,许文良,冯 宏,等.吉林省西部草地土壤的化学元素含量及其特征研究[J]. 地理科学,2002,22(6):763~768.
[9] 王学军,李本纲,陶 澍,等.土壤微量金属含量的空间分析[M].北京:科学出版社,2005.
[10] 王政权.地统计学及其在生态学中的应用[M].北京:科学出版社,1999.
[11] 张元明,陈亚宁,张小雷.塔里木河下游植物群落分布格局及其环境解释[J].地理学报,2004,59(6):903~910.
[12] 刘秋锋,康慕谊,刘全儒.中条山混沟地区森林乔木种的数量分类与环境解释[J].植物生态学报,2006,30(3):383~391.
[13] 张金屯,Pickett STA.城市化对森林植被、土壤和景观的响[J].生态学报,1999,19(5): 654~658.
[14] 鲁如坤.土壤农业化学分析方法[M].北京:中国农业科技出版社,2000.
[15] 李 飞,易卫东. 原子荧光光谱法代替传统方法同时测定汞和砷[J].工业水处理,2003,23 (10):54~56.
[16] 张金屯.数量生态学[M].北京: 科学出版社,2004.
[17] 陈怀满.土壤中化学物质的行为与环境质量[M].北京:科学出版社,2002.
[18] Borcard D, P Legendre, P Drapeau. Partialing out the spatial component of ecological variation [J]. Ecology,1992,73(3): 1045-1055.
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